Hands On Training

Cluster Analysis in Python

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Google News automatically group related news articles under one topic. Wondering what goes on behind the scenes to create these groups of news articles? This course will teach you how to use the SciPy library in Python to learn unsupervised clustering. This course will cover data preprocessing as well as the use of hierarchical and k-means clustering. This course will cover player statistics for FIFA 18, which is a very popular football game. Learn how to visualize and apply different clustering algorithms to data.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate Python

What You Will Learn

In this course, you will be introduced to unsupervised learning through clustering using the SciPy library in Python

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library

This course covers pre-processing of data and application of hierarchical and k-means clustering. Through the course, you will explore player statistics from a popular football video game, FIFA 18

Course Content

Expand all sections

Module 1: Introduction to Clustering

Module 2: Hierarchical Clustering

Module 3: K-Means Clustering

Module 4: Clustering in Real World

Course Instructors

Shaumik Daityari

Business Analyst at American Express

Shaumik is a business analyst at American Express by day, and a comic book enthusiast by night (or maybe, he's Batman?) He has masters degrees from IIT Roorkee and IIM Lucknow, but apparently, none w...